جستجوی مقالات مرتبط با کلیدواژه « interpretive structural modeling » در نشریات گروه « پزشکی »

In the contemporary context, hazardous waste management has gained prominence within global environmental regulations. However, impediments pose significant challenges to effectively managing such waste. This study aims to identify ten barriers within the hazardous waste management paradigm, drawing from literature sources and insights from experts in the field.

The empirical investigation conducted in 2022 solicited the viewpoints of five managers and experts affiliated with a waste management firm in Kermanshah province, Iran. The decision-making techniques of DEMATEL (Decision-Making Trial and Evaluation Laboratory) and interpretive structural modeling were employed to comprehensively comprehend the internal interrelationships and hierarchical structure of these barriers in hazardous waste management.

The findings reveal that the primary obstacles, as discerned through the hybrid approach combining decision-making trial and evaluation with interpretive structural modeling, are the lack of public awareness regarding hazardous waste recycling and the absence of comprehensive policies and regulations addressing hazardous waste issues. Notably, the deficiency in public awareness regarding hazardous waste recycling emerges as a causal factor, achieving a score of 0.54. This factor falls within the category of autonomous obstacles, exerting a potent influence with a strength rating of 10 and a relatively weak dependency of 1. Conversely, the inadequacy of policies and regulations addressing hazardous waste is identified as a causal factor with a score of 0.47, belonging to the category of connecting obstacles. It exhibits a robust penetration capability with a rating of 10 and a relatively strong dependency power of 6.

The proposed methodology is a valuable tool for policymakers and decision-makers, enabling them to discern the interconnectedness of barriers and their hierarchical arrangement within the hazardous waste management framework.

The extensive advantages of the 4th generation of industry led to the entry of these technologies into the healthcare sector. Many countries have been able to create many competitive advantages by successfully implementing Healthcare 4.0. In Iran, the fourth generation of health care has not yet been properly investigated and implemented. Identifying implementation barriers and relationships between them can help decision makers in making appropriate decisions to facilitate Healthcare 4.0 implementing. This research was done with the aim of identifying these barriers and analyzing and relationship between them.

This research was done in 2 stages. In the first stage, using semi-structured interviews with experts and the use of thematic analysis, barriers were identified, and in the second stage, using a researcher-made questionnaire and the method of fuzzy total interpretative structural modeling, a causal model of relationships between barriers was designed to identify the most fundamental barriers. The method of sampling in both stages was judgment and snowball and the sample size in them is 16 and 10 people, respectively.

The results of interviews with experts led to the identification of 44 main barriers, which are divided into 7 categories: " barriers due to sanctions", "Financial and economic barriers", "Hardware and software barriers", "Cooperation barriers", "competitive barriers", "management barriers" and "human resource barriers" were categorized. The modeling results showed that "barriers caused by sanctions", "competitive barriers" and "human resource barriers" are respectively the most important barriers and should be given special attention in policy making.

The results of the research presented a new perspective on the barriers to healthcare 4.0. This perspective is about barriers related to sanctions and competitive issues. As a result, it is recommended to facilitate international communication, train decision-making and problem-solving skills, and develop knowledge-based activities to remove sanctions barriers. Also, facilitating public-private partnership and facilitating the presence of international companies in the field of healthcare can help increase competition.

Nowadays, responding appropriately to the stakeholders’ expectations is one of the most important factors for organizations effectiveness, especially in the health system, as the responsible of generation, propagation and promotion of health in societies. Analyzing the stakeholders’ evaluation components, this research aims to provide practical information about stakeholders’ management for the head of hospitals in Guilan University of medical science (GUMC).

This research is applied in terms of purpose and descriptive-survey in terms of implementation method. Statistical population includes heads of hospitals in GUMS and academic experts where 19 of them are participated in the research. For screening the components extracted from the literature, fuzzy Delphi method was used, while for analyzing and structuring the components, interpretive structural modeling (ISM) was used. In addition, for data gathering, snowball sampling method and questionnaire tool were used.

Conducting the fuzzy Delphi method, among the 30 components extracted from the literature, 10 factors; stakeholders’ participation, information, relationships, level of need, benefits of cooperation, motivation, planning ability, consistency with the organization goals, possibility of monitoring stakeholders and the importance of the stakeholders’ position were determined as main factors and were structured by the ISM method at three levels.

According to the MICMAC analysis, the indicators of stakeholder’ participation, stakeholder relationships and the importance of the stakeholder's position were recognized as the most important components in stakeholder’s evaluation, which indicates the necessity of managers attention to these factors in the evaluation of stakeholders and using them for achieving to hospital goals.

Effective team building is a combination of team performance in the form of output and the team's ability to grow and revive, and multinational organizations usually include companies or other enterprises that are formed in more than one country and are related to each other. are able to coordinate their activities in different ways. The main goal of the current research is to design the internal relationships between the causal and strategic dimensions of effective team building in multinational organizations active in Iran using Interpretive Structural Modeling (ISM).

In this research, by reviewing the research background and literature, as well as using the opinions of experts in the field of public administration and organizational behavior, six variables affecting effective team building in multinational organizations active in Iran were identified. Variables were classified using Interpretive Structural Modeling (ISM) which includes six steps and questionnaire tool. Then, using SPSS software and regression test, the effect percentage of the variables was determined.

The results of the research showed that the variable of identifying effective teams as the basis of the model affects all other variables.

at the next level are the variables of team knowledge and learning ability, which affect team value creation and the development of team competition, and the variables of team value creation and the development of team competition also have a positive and significant effect on competitive agility. To the managers of organizations It is suggested that by strengthening the innovative processes and encouraging the participation of employees in group work in order to exchange creative and enlightening works in organizations and as a result stimulate the innovative process in companies, it causes the creation of new knowledge and ideas, the sharing of innovative ideas and finally their application in the value process. Creating team building and empowering employees as a result.

The present study was conducted with the aim of interpretive structural modeling of factors affecting organizational friction in education in Golestan province. This study was applied in terms of purpose and mixed in terms of implementation method (qualitative and quantitative). The research population in both qualitative and minor sections were experts in the fields of educational management, human resource management and organizational behavior of education in Golestan province in 2020. The sample size was estimated according to the principle of theoretical saturation of 20 people who were selected according to the inclusion criteria by targeted sampling and snowball sampling methods. The research instrument was a semi-structured interview whose validity was confirmed by experts and its reliability was estimated to be 0.79 through an agreement coefficient between two coders. Data were analyzed by Delphi methods and interpretive structural modeling in SPSS and PLS software. Findings showed that organizational friction in education has 18 components including defective organizational structure, weakness in human resource planning management, weakness in strategic management, carelessness, work delay, lack of sense of responsibility, functional stupidity, labor management heterogeneity, weakness in system evaluation, inefficiency Administrative, inattention to employee performance, financial and material inequality, anti-sports behaviors, politicization, concentration of control and power, stress in the workplace, organizational distrust and inefficiency of organizational management. Other findings showed that 18 components were at 13 levels; that work carelessness and work time were at thirteenth level with least impact and lack of sense of responsibility in the first level with the most impact.

in this study; The researchers intend to investigate thecauses and roots of organizational indifference using the qualitativeapproach of theme analysis, and then present the model oforganizational indifference in Payam Noor University by using thequantitative approach of structural interpretive modeling.

Research method, mixed and statisticalpopulation in quantitative and qualitative part; The experts,professors and managers of the university were selected using a nonrandom, purposeful (judgmental) sampling method using theprinciple of saturation of 25 people. Data collection was donethrough literature review in the field of indifference, semi-structuredinterviews and structured self-interaction matrix questionnaire;whose validity and reliability were measured and confirmed. dataanalysis method; Theoretical coding was done by using themeanalysis and by using interpretive structural modeling method andMICMAC technique .

The results of theme analysis led to the extraction of 220open codes, 26 basic themes and 6 organizing themes ofindifference, under the headings; "Management factors","motivational factors", "structural factors", "extra-organizationalfactors", "cultural factors" and "personal factors" resulted. Then,with the application of interpretative structural modeling, thesefactors were classified into four categories and by considering thefinal accessibility matrix, the final model of organizationalindifference of human resources was drawn .

Cultural, structural and extra-organizational factors actas the foundation stone of the indifference model and indifferencestarts from these variables and spreads to other variables. Also,motivational factors have the greatest impact on organizationalindifference in Payam Noor University.

Globalization, increasing the regulations of governmental and non-governmental organizations and pressure and customer demands regarding environmental issues have led organizations to consider the necessary measures to apply green supply chain management to improve environmental and economic performance. Therefore, this study was conducted to identify the factors affecting supplier selection based on the factors of green supply chain management in the hospital.

In the present study, first, by studying and reviewing the relevant scientific articles and books and according to the research literature, the criteria of green supply chain in the hospital were identified. Then, Interpretive Structural Modeling (ISM) was used to examine the relationships and dependencies between the criteria. Finally, the Analytic Network Process (ANP) method was used to prioritize the criteria and options.

The results obtained in the ISM method showed that the criteria of "supporting the green supply chain by senior and middle managers", "optimal use of resources and reducing the consumption of raw materials" and "moving towards green suppliers". They have the most connection and impact on the system and by changing them, the system changes. And the results of the ANP method indicate that the criteria of "cross-sectoral cooperation" and "education and presentation of the correct energy consumption pattern" are in the last ranks.

Necessary arrangements should be made for selecting a green supplier in the hospital with the help of inter-departmental cooperation and training and presenting the correct energy consumption pattern.

The overall goal of the medical department is to develop and manage an efficient and effective supply chain. Intrinsic instability and unpredictability of treatment needs to require a flexible supply chain. Agility reflects the hospitalchr('39')s response to environmental changes, and agile hospitals are able to provide appropriate services to the patients. Hospital supply chain management agility needs to find the main aspects affecting the relationship and communication between them and to analyze the dimensions together. The purpose of this study was interpretive-structural modeling and analysis of dimensions of agile hospital supply chain management.

The research design combined descriptive - survey exploratory approach to the future. The population study were doctors, nurses and staff at the University of Medical Sciences. The Delphi technique was used to determine the dimensions of agility and the interpretive-structural modeling approach was used for analysis and modeling. Mick Mac software was used to analyze the dimensions of agility.

The final model of agile hospital supply chain management with 16 dimensions had 8 levels, which was at the highest level of cost reduction and at the lowest level of organizational leadership commitment. The results indicate that leadership commitment is the foundation of supply chain agility in the hospital. Knowledge management variable had low impact and effectiveness and was known as a secondary leverage variable. The results showed that most agile supply chain management aspects of the main causes of complex communication and interaction, and the importance of agility in the hospital of the show. 

The analysis and interpretation of functional from the aspect of Impact and Influence of agility dimensions in hospital environment Showed that, Dimensions of strategic planning, human resource development and staff skills training, human resource management and employee satisfaction, process management, process integration and organizational transformation, flexibility, organizational communication development and information management integration, service quality management and continuous improvement, acceptance of new technology and new ideas, speed of service, patient  understand and satisfaction, monitor, find best responds demand and market sensitivity in the strategic area are located and They cause model instability and With high impact and high influence, They play an important role in the agility of hospital supply chain management.

Workplace safety and protecting human resources and other resources is an important concern in the industry. Workplace accidents leads to damages to employeesand affect business operations for a variety of reasons, including absenteeism, loss of productivity, and increased production costs.One of the most dangerous industries in the world is the electric power industry, and electric power has been identified as the fifth factor in terms of work accidents.The purpose of this study is to identify and classify the factors affecting safety in power distribution companies and determine the relationship between them.

Based on previous studies, 14 indicators affecting safety were identified in three dimensions: organizational, technical and human. Using the questionnaire, the rational relationship between the indicators is quantified and then by combining DEMATEL and ISM, the influencing degree, influenced degree, centrality and causality between the indicators calculated. In order to systematically analyze the relationship between the indicators, a hierarchical model was drawn using ISM method; and based on the power of influence and dependence of indicators, MICMAC diagram was drawn. According to the resultant model, relationship between indicators were analyzed systematically.

Top management commitment and safety standards, rules and regulations indicators have the most power to influence other indicators and have a causal role; risk identification and control, contractor and supplier management, incident analysis, safety audit, Personal protective equipment, control and supervision, health and first aid, emergency response, safety training, communication, understanding the needs and expectations of employees and other stakeholders, and developing a safety culture are effective indicators.

This paper in addition to introduction of theoretical basisfor safety influencing indicators in power distribution companies and investigating their relationships, has proposed practical suggestions to prevent accidents and improve safety in power distribution companies.

Organizations need reliable and robust strategies to survive and thrive in an unstable environment. Many authors believe that knowledge is the most important input to the process of strategy formulation, implementation and evaluation. As such, it is important to know how to collect, analyze and process the knowledge required. The purpose of this paper is to design a strategic intelligence process model at the organizational analysis level.

The textual data of this study were collected in English and Persian through the databases of EBSCO, Google Scholar and Iran Doc.

The findings of the study showed that the process of strategic intelligence for the experts in the state banking industry consists of eight stages. The two stages of "need determination" and "planning and organization" are process drivers, which through the "information gathering" phase lead to the following steps: "Purifying and storing useful information", "information analysis", "production Intelligence", "Distributing Intelligence and Ethics" and "Using Intelligence and Feedback".

The results of this study provide insights into the implementation of the strategic intelligence process in organizations and evaluate its effectiveness. Because decision-making patterns follow value systems, these value systems give different ratings to different decisions and when referring to the system when a person, or social organization, faces multiple decisions at the same time. Governing value selects decisions that, overall, gain a higher rank in the accepted value system and those are decisions that ensure the utility of the individual or the social system. Therefore, mere review of policies, plans and operational plans (strategic levels) in strategic environmental assessment will not suffice in terms of their compliance with environmental criteria, as they may at some stage need to "formulate" the plan and its implementation is made; irreversible decisions are made that require a lot of costs to reform.

The aim of present study was to identify the behavioral-educational index of entrepreneurial counseling based on choice theory and to examine the importance and priority of each of the behavioral-educational indicators based on choice theory. The statistical population of this study included educational-behavioral entrepreneurship experts and those were familiar with the theory of selection in counseling, and also in order to collect information, a questionnaire was used to rank the behavioral-educational indicators of entrepreneurship in counseling. In this study, 17 behavioral-educational indicators affecting entrepreneurial counseling were identified according to studies and the research literature. Then, the most important indexes were ranked using interpretive structural modeling. According to findings of the present study, independence, self-confidence, tolerance of ambiguity, mastery, creativity, optimism, leadership, profitability, intuition, self-esteem, determination, internal control, risk-taking, Accountability, interpersonal communication skills, belonging, and the need for success were considered as important factors in entrepreneurship. The outcomes also showed that the indicators influencing the behavioral-educational dimension were Independence level (autonomy): indicators that had the least dependence and the power of influence on other indicators; Dependence level: indicators that were highly dependent on other indicators, but had little influence; Link (non-dependence): indicators that had a two-way relationship with other indicators. Therefore, the indicators of desired independence and interpersonal skills were the most important indicators affecting entrepreneurial counseling that should be considered and emphasized in the first step in the counseling services based on the choice theory.

Health centers must can adapt quickly to catastrophic events, such as natural and human disasters. One way to face various disasters in health centers is to increase resilience. This study tries to identify the affecting factors on hospital resilience and the relationship between them, to design a comprehensive model of hospital resilience in the face of COVID-19 disease.

First, the affecting factors on hospital resilience were identified using a research background study. Then, through an interpretive structural modeling (ISM) technique, a relationship model among the identified factors was obtained. The conceptual model obtained from ISM was goodness of fit by using the Smart PLS3 software. For this purpose, a questionnaire containing 33 questions was administered to 80 managers, experts, and staff of Yazd training hospitals.

The results identified 8 general affecting factors on hospital resilience. The eight factors identified in this study were structured at 4 general levels by ISM. The initial level of the model consisted of "stability" and "communication system and information technology" factors. Also, the results of model goodness of fit confirmed the relationships formed by ISM.

The results of this study can be used by health managers for the countrychr('39')s hospitals resilience in the face of natural disasters and unforeseen accidents.

The purpose of this study was to identify and leveling the factors affecting the effective teaching in Shahid Sadoghi University of Medical Mciences based on interpretive structural modeling. In the present study, research method for categorizing factors was structural interpretation modeling. The statistical population of the study consisted of faculty members at Shahid Sadoughi University of Medical Sciences, and then among them, 9 faculty members were selected as research sample. The data collection tool was a self-interactive questionnaire (ISM); then, content validity was confirmed by medical education specialists. After data analysis, the results showed that 10 factors; teacher’s mastery over the subject, articulation of clear educational expectations, leadership and classroom management, and student active participation in the teaching process are among the factors influencing effective teachingwere considered as factors affecting the effective teaching at Shahid Sadoughi University of Medical Sciences. Also, factor analysis exhibited that this model had 7 levels that determined from the deepest and the most influential level to the most surface level and effective superfacial of effective implementation of electronic learning in the model. Regarding the identification of 10 factors and determining the level of importance and their impact on the effective learning in the medical sciences university, faculty members of medical universities should consider and apply them.

This study aimstoscore the factors affecting the use of e-learning in Shahid Sadoughi University of Medical Sciences according to the interpretive structural model. Interpretative structural model was used to categorize and score factors affecting e learning. The participants were faculty members of Shahid Sadoughi. University of Medical sciences. 11 faculty members were selected randomly and filled a questionnaire.The data collection tool was a self-interactive questionnaire (ISM) and content validity was confirmed by medical education specialists. overall 15 factors are considered as factors affecting the use of e-learning in Shahid Sadoughi. University of Medical Sciences. Also, factor analysis showed that this model has 9 levels that are determined from the deepest and most influential level to the most surface and effective level of effective implementation of electronic learning in the model. Regarding the identification of 15 factors and determining the level of importance and their impact on the use of e-learning in the medical sciences university, policymakers and managers of medical universities should be encouraged to facilitate these factors.
Keywords: E-learning, Medical education, Interpretive Structural Modeling